epigenelabs / inmoose
InMoose is the INtegrated Multi Omic Open Source Environment. It is a collection of tools for the analysis of omic data.
☆75Updated this week
Alternatives and similar repositories for inmoose:
Users that are interested in inmoose are comparing it to the libraries listed below
- pyComBat is a Python 3 implementation of ComBat, one of the most widely used tool for correcting technical biases, called batch effects, …☆83Updated last year
- ☆56Updated 5 months ago
- ☆52Updated 2 weeks ago
- bioinformatics plotting and tools☆56Updated 10 months ago
- ☆30Updated last week
- Python packaging for CPTAC data☆94Updated 9 months ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated 2 months ago
- CZ CELLxGENE Discover Census☆98Updated this week
- Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for …☆47Updated this week
- Episcanpy: Epigenomics Single Cell Analysis in Python☆144Updated 4 months ago
- BESCA (Beyond Single Cell Analysis) offers python functions for single-cell analysis☆50Updated this week
- ☆54Updated 2 years ago
- Python package to perform enrichment analysis from omics data.☆190Updated last week
- ☆50Updated 10 months ago
- ☆31Updated 3 months ago
- Tutorials for the SCOG Virtual Workshop ‘Spatial transcriptomics data analysis in Python’ - May 23-24, 2022☆53Updated 2 years ago
- Models and datasets for perturbational single-cell omics☆153Updated 2 years ago
- Cellxgene Gateway allows you to use the Cellxgene Server provided by the Chan Zuckerberg Institute (https://github.com/chanzuckerberg/cel…☆62Updated last year
- ☆90Updated 4 years ago
- Python implementation of Milo for differential abundance testing on KNN graph☆66Updated 2 months ago
- Subpopulation detection in high-dimensional single-cell data☆69Updated 4 years ago
- A data-centric flow/mass cytometry automated analysis framework☆39Updated 3 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆119Updated last month
- Accelerated, Python-only, single-cell integration benchmarking metrics☆56Updated last week
- ☆58Updated 7 months ago
- Multimodal Data (.h5mu) implementation for Python☆93Updated last month
- Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.☆129Updated 2 years ago
- software to detect doublets☆92Updated 3 months ago
- Flow & mass cytometry analytics.☆48Updated last week
- Decima is a Python library to train sequence models on single-cell RNA-seq data.☆33Updated last week